数字图像相关
声发射
复合材料层合板
主成分分析
材料科学
各向同性
复合数
声学
复合材料
物理
光学
计算机科学
人工智能
作者
Emre Özaslan,Ali Yetgin,Bülent Acar,Mehmet Ali Güler
标识
DOI:10.1016/j.compstruct.2021.114299
摘要
This paper focuses on damage mode identification of composite laminates based on acoustic emission and digital image correlation methods. The effect of different fiber/matrix materials on the damage progression of quasi-isotropic laminates with one open hole was investigated first. The effect of different hole orientations with respect to load direction on the damage mechanism of laminated composites with two interacting holes was studied next. For this purpose, correlation and Principal Component Analyses (PCA) were performed to select the most effective acoustic emission (AE) parameter in clustering. After performing PCA, peak frequency parameter was selected to cluster acoustic emission signals due to its great contribution to the principal component. Damage mechanisms were identified based on cumulative counts and energy parameters of AE events for both aspects mentioned above. The findings of the AE measurement were successfully verified by digital image correlation (DIC) measurements.
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